code: def test_column_description(es):
      column_description = (
          "the name of the device used for each session"
      )
      es["sessions"].ww.columns[
          "device_name"
      ].description = column_description
      identity_feat = IdentityFeature(es["sessions"].ww["device_name"])
      assert (
          describe_feature(identity_feat)
          == column_description[0].upper()
          + column_description[1:]
          + "."
      )
  
file_path: featuretools/featuretools/tests/primitive_tests/test_feature_descriptions.py
imports: import json
  import os
  import pytest
  from woodwork.column_schema import ColumnSchema
  from featuretools import describe_feature
  from featuretools.feature_base import AggregationFeature, DirectFeature, GroupByTransformFeature, IdentityFeature, TransformFeature
  from featuretools.primitives import Absolute, AggregationPrimitive, CumMean, EqualScalar, Mean, Mode, NMostCommon, NumUnique, PercentTrue, Sum, TransformPrimitive
label_desc: Use image node_id 10 for calling a global function with example usage: test_column_description(es) without return types